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Program Code Generation with Generative AIs

Algorithms
Our paper compares the correctness, efficiency, and maintainability of human-generated and AI-generated program code. For that, we analyzed the computational resources of AI- and human-generated program code using metrics such as time and space ...
Baskhad Idrisov, Tim Schlippe
doaj   +1 more source

Security Analysis of Automated Code Generation: Structural Vulnerabilities in AI-Generated Code

Tehnički Glasnik
AI-driven code generation enhances operational efficiency; however, it also introduces security vulnerabilities due to insufficient human oversight during development.
Sang Hyun Yoo, Hyun Jung Kim
doaj   +1 more source

An Approach for Rapid Source Code Development Based on ChatGPT and Prompt Engineering

IEEE Access
Code generation stands as a powerful technique in modern software development, improving development efficiency, reducing errors, and fostering standardization and consistency.
Youjia Li, Jianjun Shi, Zheng Zhang
doaj   +1 more source

Semantic composition of robotic solver algorithms on graph structures

Frontiers in Robotics and AI
This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific computational building blocks that prevent code ...
Sven Schneider, Sven Schneider, Nico Hochgeschwender, Herman Bruyninckx, Herman Bruyninckx, Herman Bruyninckx   +5 more
doaj   +1 more source

A Bibliometric Exposition and Review on Leveraging LLMs for Programming Education

IEEE Access
The world is experiencing an AI revolution, with large language models (LLMs) transforming various industries, including education. Academics are striving to harness the potential of LLMs while also contending with their risks.
Joanah Pwanedo Amos, Oluwatosin Ahmed Amodu, Raja Azlina Raja Mahmood, Akanbi Bolakale Abdulqudus, Anies Faziehan Zakaria, Abimbola Rhoda Iyanda, Umar Ali Bukar, Zurina Mohd Hanapi   +7 more
doaj   +1 more source

Navigating the Pitfalls: Analyzing the Behavior of LLMs as a Coding Assistant for Computer Science Students—A Systematic Review of the Literature

IEEE Access
In recent years, large language models (LLMs) have been employed significantly in different domains of computing education. Nevertheless, these models have been focused on essential adherence to their integration as coding assistants in computing ...
Farman Ali Pirzado, Awais Ahmed, Roman Alejandro Mendoza-Urdiales, Hugo Terashima-Marin   +3 more
doaj   +1 more source

An Empirical Study of the Code Generation of Safety-Critical Software Using LLMs

Applied Sciences
In the digital era of increasing software complexity, improving the development efficiency of safety-critical software is a challenging task faced by academia and industry in domains such as nuclear energy, aviation, the automotive industry, and rail ...
Mingxing Liu, Junfeng Wang, Tao Lin, Quan Ma, Zhiyang Fang, Yanqun Wu   +5 more
doaj   +1 more source

Large Language Model-Driven Framework for Automated Constraint Model Generation in Configuration Problems

Applied Sciences
Constraint satisfaction problems (CSPs) are widely used in domains such as product configuration, scheduling, and resource allocation. However, formulating constraint models remains a significant challenge that often requires specialized expertise in ...
Roberto Penco, Damir Pintar, Mihaela Vranić, Marko Šoštarić   +3 more
doaj   +1 more source

OpenMP-annotated code dataset for large language model fine-tuning on parallel programming tasks

Frontiers in High Performance Computing
Nichole Etienne, Nichole Etienne, Simon Garcia de Gonzalo, Dorian Arnold   +3 more
doaj   +1 more source

vMAGIC—Automatic Code Generation for VHDL

International Journal of Reconfigurable Computing, 2009
Christopher Pohl, Carlos Paiz, Mario Porrmann   +2 more
doaj   +1 more source